Engineering Jobs in Ocoee Orange County Fl Remote

Date Posted:

2026-01-28

Country:

United States of America

Location:

US-AZ-TUCSON-M09 ~ 3350 E Hemisphere Loop ~ BLDG M09

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

The ability to obtain and maintain a U.S. government issued security clearance is required.​ U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance

Security Clearance Type:

DoD Clearance: Secret

Security Clearance Status:

Active and existing security clearance required after day 1

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world.  

The Agile Hardware Solutions (AHS) strives to develop, mature, and deploy advanced product development capabilities across the Hardware Engineering discipline, enabling the business to deliver high quality work products at competitive discriminating velocity & cost.

The Agile Hardware Solutions (AHS) Department is seeking a Mechanical Dimensional Management Engineer, located in Tucson, AZ (Onsite)

Occasional domestic travel may be expected.

The Mechanical Dimensional Management (DM) Engineer is part of the Producibility Team within Agile Hardware Solutions. The DM Engineer collaborates directly with Mechanical Engineering, Materials & Processes and Design & Drafting from the Mechanical Products Team along with Operations, Quality and Supply Chain peers, and suppliers to implement mechanical producibility improvements on new and emerging programs, and upgrades to existing programs. 

The team executes tolerance optimization through primarily 3D tolerance and variation analysis and works with the design team to influence the final design.  Early engagement in the conceptual stage and throughout the development process will ensure that our designs are optimized with respect to tolerance controls and methods of manufacture.  The DM engineer plays an essential part in reducing product cost and ensuring functional quality. 

What You Will Do

As a member of the Dimensional Management and Producibility Team, you may support the team in the following ways:

• Perform detailed 3D complex dimensional tolerance analyses and review 1D tolerance analyses using various tools to evaluate design requirements of new and existing designs to calculate design margin / capability, and provide recommendations while adhering to cost, schedule, and manufacturing constraints.

• Work with product teams to develop coordinated datum flow and document via drawings including interface control drawings (ICDs).

• Apply, encode and decode Geometric Dimensioning and Tolerancing (GD&T) on various technical data packages.

• Contribute to the development and training of the practical application of GD&T, tolerance analysis methods, and tools.

• Where applicable become recognized as the Dimensional Management Lead on a program to coordinate various aspects of the Dimensional Management Closed Loop Process while supporting Critical Item Initiatives.

• Function as a self-starter while exercising considerable latitude in determining the strategic objectives and methods of achieving Dimensional Management goals.

• Where empowered within a program, offer assistance developing inspection plans for both internal inspection and as required by suppliers for compliance with specifications.

Qualifications You Must Have

• Bachelors in Science, Technology, Engineering, or Mathematics (STEM), and 8 years’ professional engineering experience

• Experience in the application of GD&T principles (ASME Y14.5)

• Experience with CAD modeling (CREO preferred)

• Experience with commercial tolerance analysis tools (Siemens visVSA preferred)

Qualifications We Prefer

• Demonstrated working knowledge of statistical tolerancing methods (e.g., Monte Carlo simulations, RSS, MRSS, etc.)

• Working knowledge of fabrication processes, producibility enhancements, and inspection and validation methods

• Working knowledge of inspection planning, inspection methods and dimensional data analysis 

• ASME Certified GD&T Professional (GDTP per ASME Y14.5.2) or equivalent5 ASME standard (e.g.Y14.5) committee membership or similar involvement

• Expertise in various Inspection and Validation methods and tools, including gages & Coordinate Measuring Machines (CMMs)

What We Offer

• Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation.

• Relocation Eligible

Learn More & Apply Now!

• Please consider the following role type definition as you apply for this role.

• Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.

• This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA, an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here:  

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

Privacy Policy and Terms:

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Date Posted:

2026-03-05

Country:

United States of America

Location:

US-AZ-TUCSON-801 ~ 1151 E Hermans Rd ~ BLDG 801 (External Site)

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Active and transferable U.S. government issued security clearance is required prior to start date.​ U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance​

Security Clearance Type:

DoD Clearance: Secret

Security Clearance Status:

Active and existing security clearance required on day 1

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression.  We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat.  Our team solves tough, meaningful problems that create a safer, more secure world.

What You Will Do

If you’re self-motivated and thrive working with multi-disciplined teams who are committed to innovation and pushing the boundaries of technology, then this might be the perfect job.

As a Raytheon Process Engineer, you’ll work to improve processes to maintain efficiency, reduce costs, improve sustainability and safety and maximize profitability.

You’re the in-factory materials and process specialist, and your responsibilities will include verifying that Technical Data Package (TDP) shelf-life materials are correctly called out in Manufacturing Data Packages (MDPs) and writing material processing procedures. In addition, you’ll collaborate on integrating process equipment within the factory and you’ll document the equipment’s functionality. 

As a Process Engineer II, your responsibilities will also include:

• Quickly addressing production issues related to materials and processes, ensuring root causes of issues are understood and solutions are robust and cost effective
• Assisting with on-the-job training for materials and processes
• Actively participating in daily production meetings
• Collaborating with Factory personnel
• Notifying the Materials Management Team of any potential materials obsolescence or supply chain interruptions
• Assisting the Process Engineer working with Materials & Process Engineering (M&PE) to quickly address problem buys and obsolete materials. This includes identifying end users, determining material requirements, finding alternatives (drive testing as needed), ensuring new materials will work in existing processes and using the opportunity to drive to common materials
• Helping to improve processes utilizing Lean manufacturing techniques to reduce variability, eliminate constraints and provide ongoing process sustainment
• Helping to drive use of common materials based on allowable requirements on the drawing, utilizing process engineering tools
• Assisting in creating or editing Manufacturing Procedures
• Supporting process troubleshooting efforts to quickly and efficiently resolve manufacturing process issues and coordinating with Materials & Process Engineering (M&PE) Labs to do root Cause Corrective Action as required
• This position involves direct support of manufacturing activities and requires spending time in and around factory areas

This is a 1st Shift Job.

This job is posted as ONSITE, and is based at Raytheon’s Tucson, AZ facility.

Qualifications You Must Have

• Typically Requires a Bachelor's Degree in Science, Technology, Engineering or Math (STEM) and minimum 2 years of relevant experience. 
• Experience with manufacturing processes
• Experience with project execution

Qualifications We Prefer

• Bachelor’s or Master’s Degree in Chemical Engineering, Material Science, Manufacturing Engineering or Mechanical Engineering preferred
• Experience with materials and material testing
• Experience with lean manufacturing
• Experience with technical writing
• Skilled problem solver and team player
• Excellent interpersonal and communication skills
• A hands-on and self-motivated learner with the ability to work independently and in a group environment

What We Offer

Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.

Learn More & Apply Now!

• Please consider the following role type definition as you apply for this role.  Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. 

• This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Security Clearance FAQs - United States Department of State

• This position is an onsite role – Tucson, AZ: ,-az-location

• We Are RTX

We Are RTX - YouTube

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

Privacy Policy and Terms:

Click on this link to read the Policy and Terms

Date Posted:

2026-02-24

Country:

United States of America

Location:

US-AZ-TUCSON-M10 ~ 3360 E Hemisphere Loop ~ BLDG M10

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Active and transferable U.S. government issued security clearance is required prior to start date.​ U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance​

Security Clearance Type:

DoD Clearance: Secret

Security Clearance Status:

Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world.

The Test Equipment Engineering (TEE) organization includes all of the engineering disciplines responsible for systems design & test of all Raytheon products. Our engineers are responsible for all elements of the development lifecycle for test including: test requirements, test system design, advanced engineering prototyping technology, flight operations, environmental testing, and environmental characterization. We are hands-on, designing with the latest technology and tools, and integrate state of the art test solutions with the most advanced engineering systems in the world.   

As a Principal Test Systems Engineer, you are accountable to coordinate across all engineering teams to define, design, and document Test Environment capabilities and requirements.  You must be a systems thinker, able to see the “big picture”, and have the in-depth knowledge of development, production, User Operations, and embedded test process and practices.  As a Test Systems Engineer, you will define and influence how prime hardware will be tested at every level (from component to All-Up-Round) to ensure robustness and efficiency. You need excellent written and verbal communication skills and the ability to work autonomously yet collaboratively in a team environment. You will generate briefings and present material to team members, customers, and Raytheon Management. 

You must demonstrate applied experience and working knowledge of developmental test process, test set-ups and integration, test equipment design with transition to the factory, and verification / validation of product hardware using proven test systems, methodologies, and techniques. Additionally, you must demonstrate the ability to identify and understand technology risks and system design concepts to make critical technical outcomes by understanding impacts to the program. 

We value a wide range of skills and experience, so don’t hold back. Your qualification could add tremendous value to our team. If you’re passionate about what you could accomplish here, we’d love to hear from you. 

This position will be located ONSITE in Tucson, Arizona. 

What You Will Do

• You will apply your knowledge of the subsystem and collaborate with other Engineering disciplines to develop and implement the subsystem model using Model Based System Engineering tools and methods. 
• Detail capabilities and derive requirements. 
• Communicate test equipment needs and requirements to Test Equipment designers. 
• Manage requirements and traceability. 
• Leverage and apply reuse of Test Environment requirements and models to promote efficiency in test design and development. 
• You will develop subsystem requirements, interfaces, behaviors, and architecture. 
• You will interact with Technical SMEs as necessary to fully understand the subsystem including identifying and resolving issues and supporting related subsystem trades or analysis. 

Qualifications You Must Have

• Typically requires a University Degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 8 years of prior relevant experience or An Advanced Degree in a related field and minimum 5 years experience
• Experience in Systems Engineering or other Engineering discipline such as but not limited to emphasis in test requirements development, test methodologies, test requirements documents, integration, verification, and/or validation for test. 
• Experience with developing, decomposing, and/ or managing system requirements across a product lifecycle such as design and transition to production. 
• Experience with test related activities throughout the product lifecycle. 

Qualifications We Prefer

• Knowledge of embedded test techniques, design for test, design margin analysis, and/or design for manufacturing. 
• Experience with Agile processes and techniques. 
• Experience with Dynamic Object-Oriented Requirements System (DOORS). 
• Experience problem solving and debugging. 
• Experience recognizing areas of improvement or customer needs and relaying them to senior staff as business development possibilities. 
• Demonstrates a sense of urgency, prudent risk-taking and adaptive response to challenges. 
• Depending on level of experience, you will provide mentoring and guidance to other team members.
• Knowledge of Model Based Engineering processes, techniques, and tools (Rhapsody and IBM Rational Model Manager and/or Cameo Systems Modeler/Enterprise Architect and Teamwork Cloud preferred, with understanding of Systems Modeling Language (SysML), and/or Unified Modeling Language (UML). 

What We Offer 

• Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.

​Learn More & Apply Now!

• Please consider the following role type definition as you apply for this role.
• Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

Privacy Policy and Terms:

Click on this link to read the Policy and Terms

Overview Client is seeking an Embedded Real-Time Software Engineer to support software development, testing, and integration in a multi-core, multi-threaded environment.

This role focuses on C development across Linux and Windows operating systems and supports the full software lifecycle from requirements analysis through implementation and formal qualification testing.

An active SECRET security clearance is required.

Core Responsibilities Develop, test, and integrate embedded real-time software Build software in a multi-core, multi-threaded environment Participate in all phases of the software development lifecycle, including requirements analysis, implementation, and qualification testing Support software quality, validation, and integration activities Collaborate with cross-functional engineering teams Essential Qualifications, Skills, and Technologies Active SECRET security clearance Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related engineering field Experience with real-time embedded software development Strong C experience, including C 11 or higher Linux operating systems experience, including CentOS, Rocky 8, or similar distributions Preferred Skills or Experience Multi-threading or multiprocessing development GitLab CI/CD pipelines GoogleTest or similar unit testing tools DDS, including RTI DDS CORBA CMake Cameo Modeler Windows operating system experience Experience working with multi-disciplined teams Nesco Resource offers a comprehensive benefits package for our associates, which includes a MEC (Minimum Essential Coverage) plan that encompasses Medical, Vision, Dental, 401K, and EAP (Employee Assistance Program) services.

Nesco Resource provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Description: As a Manufacturing Engineering Aide, you will: Collaborate with Manufacturing Engineers (ME) on various technical tasks, providing crucial support in gathering, maintaining, formatting, compiling, and manipulating technical data, such as engineering designs and design changes.

Produce high-quality engineering documentation, reports, marking files, designs, drawings (flow charts, block diagrams, and schematics), and machine operation procedures, ensuring accuracy and attention to detail.

Act as a key liaison between the ME and production teams, assisting in providing technical guidance and timely problem resolution to support assembly performance.

Review, respond to, and adjudicate EODIs and requests for floor support, working closely with the assembly team to identify and correct issues firsthand.

Update assembly work instructions based on drawings and/or models, reviewing content with Manufacturing Engineers prior to release to the floor.

Assist in working ME's tasks on Qnotes and EODIs, inputting data provided by ME to tools in support of planning, routing, work instruction generation, status reporting, and issue resolution.

Actively engage in PMT (Performance Management Team) and assist in implementing lean principles and technologies and other process improvement activities, ensuring continuous growth and improvement.

Maintain and control shop aids used in the production process, programming and maintaining assembly-related machines as required for their respective areas.

Work closely with the Wire Cut area to provide assistance with machine set-up and support, troubleshoot issues, optimize machine performance, and implement process improvements to enhance overall productivity and quality.

Basic Qualifications:
- Minimum 3-5 years of experience in a manufacturing role.

- Collaborate in the creation manufacturing engineer instructions and visuals
- High School diploma, or equivalent experience/combined education, with additional technical training sufficient enough to perform required basic calculations, electronic/mechanical assembly, computer operations, etc.

- Ability to read and understand engineering design drawings and interpret design specifications and their applicability to manufacturing.

- Microsoft Office suite experience with MS Word, PowerPoint, Excel, and Publisher
- Ability to work in a fast-paced environment, with multiple priorities and deadlines.

- Excellent verbal/written communications skills
- Ability to provide technical guidance and timely problem resolution to production floor operators
- Familiarity with cable and/or harnesses production, and has the ability to analyze electrical and mechanical schematics and diagrams
- IPC/WHMA-A-620 and J-STD-001 trained and/or certified
- Familiarity with mechanical, power, and pneumatic tools
- Familiarity with cable wire cutter and stripper machines Desired skills:
- Familiarity with SAP (Qnotes, Routings, Bills of material) or a related manufacturing system
- Knowledge of Lean manufacturing concepts and technique and experience generating/implementing process improvements
- Must have strong interpersonal skills and be able to work effectively in a team environment.

Custom Fields: Name: Allow Expenses Value: No Name: Work Schedule Value: 4/10-1st Shift Name: Security Clearance Value: None Name: Security Clearance Comments Value: None Nesco Resource offers a comprehensive benefits package for our associates, which includes a MEC (Minimum Essential Coverage) plan that encompasses Medical, Vision, Dental, 401K, and EAP (Employee Assistance Program) services.

Nesco Resource provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Remote working/work at home options are available for this role.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Machine Learning Engineer

Location: San Jose, CA

Responsibilities:

• Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
• Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
• Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
• Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
• Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
• Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
• Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

Educational Qualifications:

• Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
• Strong systems/ML engineering with exposure to distributed training and inference optimization.

Industry Experience:

• 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
• Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
• Experience collaborating across Research, Platform/Infra, Data, and Product functions.

Technical Skills:

• Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
• Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
• Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
• Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
• Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
• Write performant, maintainable code
• Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Remote working/work at home options are available for this role.

Sr. Data Engineer (Hybrid)

Chicago, IL

The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.

At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.

We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.

We have an opportunity at our corporate offices in Chicago for a Sr. Data Engineer (Hybrid) on our Information Technology team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.

As a Sr. Data Engineer, you will play a key role in implementing
and maintaining AMA's enterprise data platform to support analytics,
interoperability, and responsible AI adoption. This role partners closely with
platform engineering, data governance, data science, IT security, and business
stakeholders to deliver highquality, reliable, and secure data products. This
role contributes to AMA's modern lakehouse architecture, optimizing data
operations, and embedding governance and quality standards into engineering
workflows. This role serves as a
senior technical contributor within the team-providing mentorship to junior
engineers and implementing engineering best practices within the data platform function,
in alignment with architectural direction set by leadership.

RESPONSIBILITIES:

Data Engineering & AI Enablement

• Build and maintain scalable data pipelines and
  ETL/ELT workflows supporting analytics, operational reporting, and AI/ML use
  cases.
• Implement best practice patterns for ingestion,
  transformation, modeling, and orchestration within a modern lakehouse
  environment (e.g., Databricks, Delta Lake, Azure Data Lake).
• Develop highperformance
  data models and curated datasets with strong attention to quality, usability,
  and interoperability; create reusable engineering components and automation.
• Collaborate with the Architecture Team, the Data
  Platform Lead, and federated IT teams to optimize storage, compute, and
  architectural patterns for performance and costefficiency.
• Build model-ready data sets and feature
  pipelines to support AI/ ML use cases; serve as a technical coordination point
  supporting business units' AI-related infrastructure needs.
• Collaborate with data scientists and AI Working
  Group to operationalize models responsibly and maintain ongoing monitoring
  signals.

Governance, Quality & Compliance

• Embed data governance, metadata standards,
  lineage tracking, and quality controls directly into engineering workflows;
  ensure technical implementation and alignment within engineering workflows.
• Work with the Data Governance Lead and business
  stakeholders to operationalize stewardship, classification, validation,
  retention, and access standards.
• Implement privacybydesign and securitybydesign
  principles, ensuring compliance with internal policies and regulatory
  obligations.
• Maintain documentation for pipelines, datasets,
  and transformations to support transparency and audit requirements.

Platform Reliability, Observability & Optimization

• Monitor and troubleshoot pipeline failures,
  performance bottlenecks, data anomalies, and platformlevel issues.
• Implement observability tooling, alerts,
  logging, and dashboards to ensure endtoend reliability.
• Support cost governance by optimizing compute
  resources, refining job schedules, and advising on efficient architecture.
• Collaborate with the Data Platform Lead on
  scaling, configuration management, CI/CD pipelines, and environment management.
• Collaborate with business units to understand
  data needs, translate them into engineering requirements, and deliver
  fit-for-purpose data solutions; share and apply best practices and emerging
  technologies within assigned initiatives.
• Work with IT Security and Legal/ Compliance to
  ensure platform and datasets meet risk and regulatory standards.
  

Staff Management

• Lead, mentor, and provide management oversight
  for staff.
• Responsible for setting objectives, evaluating
  employee performance, and fostering a collaborative team environment.
• Responsible for developing staff knowledge and
  skills to support career development.

May include other responsibilities as assigned

REQUIREMENTS:

1. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
2. 5+ years of experience in data engineering within cloud environments
3. Experience in people management preferred.
4. Demonstrated hands-on experience with modern data platforms (Databricks preferred).
5. Proficiency in Python, SQL, and data
   transformation frameworks.
6. Experience designing and operationalizing
   ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and
   CI/CD processes.
7. Solid understanding of data modeling,
   structured/unstructured data patterns, and schema design.
8. Experience implementing governance and quality
   controls: metadata, lineage, validation, stewardship workflows.
9. Working knowledge of cloud architecture, IAM,
   networking, and security best practices.
10. Demonstrated ability to collaborate across
    technical and business teams.
11. Exposure to AI/ML engineering concepts, feature
    stores, model monitoring, or MLOps patterns.
12. Experience with infrastructureascode
    (Terraform, CloudFormation) or DevOps tooling.

The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.

This role is an exempt position, and the salary range for this position is $115,523.42-$150,972.44. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee's pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association's benefits offerings, please click here.

We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant's race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.

THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION

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Remote working/work at home options are available for this role.

Description:

Power Distribution and Make Ready Designer

Overhead Utility Pole Design • Joint-Use Engineering • NESC-Compliant Make-Ready Work

Location: Kalamazoo, MI / Remote (U.S.)

Are you an experienced Power Distribution Designer or Make-Ready Designer looking to support meaningful utility engineering projects? Join a team that values accuracy, collaboration, and long-term professional growth.

ABOUT THIS OPPORTUNITY
We are seeking skilled Make-Ready Designers (primary focus) and Power Distribution Designers to support engineering programs for major electric and telecom utilities. Ideal candidates bring demonstrated experience in overhead utility pole design, NESC application, clearance assessment, pole loading analysis, and construction package development. Useful design platforms include DDS, Katapult, O-Calc, GIS, MicroStation, AutoCAD, or client-specific drafting systems.

In this role, you will review field/walkout data, evaluate existing attachment conditions, model pole loading, determine make-ready requirements, and prepare accurate construction-ready deliverables. Applicants without utility pole design or distribution engineering experience will not be considered.

Note: This position is remote, but new hires must attend a 2-week paid, in-person orientation at our Perrysburg, OH headquarters.

WHAT YOU WILL DO
• Execute overhead distribution and make-ready design work orders while meeting quality, time, and budget expectations
• Apply established engineering design standards, NESC requirements, and internal processes
• Perform end-to-end make-ready, joint-use, and/or general distribution design
• Conduct permitting and easement research (pole ownership, ROW, property rights, approvals)
• Collaborate with team members to resolve design challenges and ensure accurate deliverables
• Use design software such as AutoCAD, MicroStation, DDS, PoleForeman, O-Calc, Katapult, or client systems
• Perform quality control reviews when required
• Support additional duties as assigned

TOP COMPETENCIES & SKILLS
Make-Ready Engineering, Joint-Use Design, Pole Loading Analysis, Utility Pole Design, Overhead Distribution Design, NESC Compliance, Utility Engineering, Pole Attachments, Make-Ready Construction, Aerial Design, Utility Coordination, Right-of-Way Permitting, Pole Replacement Design, Make-Ready Estimates, Field Survey Interpretation, CAD for Utility Design, GIS for Utility Design, Electrical Distribution Design, Utility Construction Standards, Telecommunications Make-Ready

Requirements:

WHAT WE’RE LOOKING FOR
• High school diploma or equivalent required; an associate degree or higher in engineering, drafting, or a related field is preferred
• Minimum 2 years of experience in make-ready engineering, joint-use design, or electric power distribution design (3+ years strongly preferred)
• Proven experience in utility pole design, including NESC application, clearance analysis, pole loading concepts, and preparation of construction-ready design packages
• Proficiency with CAD or MicroStation; experience with DDS, Katapult, O-Calc, or similar utility design platforms is strongly preferred
• Solid understanding of power distribution construction practices, with the ability to learn utility-specific proprietary systems efficiently
• Must hold a valid driver’s license, maintain active auto insurance, and pass all required background, drug, and MVR screenings
• Authorization to work in the United States is required
• Willingness to travel occasionally, including minimal overnight travel when project needs require
• Ability to work a standard Monday–Friday schedule aligned to Eastern Time, with Central/Mountain/Pacific adjustments as appropriate

PHYSICAL REQUIREMENTS
• Ability to work for extended periods using a computer keyboard, monitor, and telephone
• Ability to prepare and analyze data, review detailed information, and work with design tools requiring close vision, distance vision, color vision, peripheral vision, depth perception, and focus adjustment
• Ability to communicate effectively through oral and written channels

ABOUT SIGMA TECHNOLOGIES
Sigma Technologies is a growing engineering and design firm with 500+ team members across 30+ states. For over 25 years, we’ve supported major power and telecommunications utilities with work that directly impacts communities nationwide. Our core values — Safety, Honesty, Truth, and Decency — shape how we work and who we hire. We are TeamSigma™.

*To learn more about working at Sigma, view our video and career page.
* If you do not have Power Design experience, please refer to our other open positions: *While Designer openings are listed in multiple locations, you only need to apply to one, as they are remote roles.

WHAT WE OFFER
We want our Associates to stay healthy, happy, and secure. We offer a positive work environment with supportive coworkers, managers, and leaders, plus:

• No-cost monthly healthcare plan option for employees
• Competitive pay
• Medical, dental, and vision plans with up to 80% of the premium sponsored by Sigma
• 401(k) plan with matching contributions up to 5% of salary
• Paid holidays, vacation, and sick time
• Education and professional licensing assistance programs

This job advertisement is intended to outline the primary responsibilities and requirements of the role. It is not all-inclusive. Additional duties may be assigned as needed. This ad does not constitute an employment agreement, and job requirements may change based on organizational needs.

Pay is commensurate with experience and education. Sigma is an equal opportunity employer and does not discriminate based on race, color, gender, sexual preference, gender identity, age, religion, national origin, disability, genetic information, veteran/military status, or any classification protected by law.

PM22
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Remote working/work at home options are available for this role.

Help Build the Financial Engine of a Global SaaS Success Story Ready to step into a finance role with real influence? If you're a technically strong accountant who wants to do more than just close the books, this is your opportunity to play a meaningful role in shaping the financial infrastructure of a rapidly scaling global SaaS company.

We’re looking for a Senior Financial Accountant who thrives in a fast-moving environment, enjoys solving complex challenges, and wants visibility with senior leadership.

In this role, you'll help strengthen financial operations, support international growth, and ensure the financial integrity of a multi-entity business operating across several global markets.

If you’re energized by growth, ownership, and the chance to help build something exceptional, we’d love to hear from you.

The Role at a Glance Senior Financial Accountant Location: Denver, CO – Remote / Hybrid Salary: $90,000 – $100,000 Plus: Excellent benefits and perks About Actionstep Actionstep is a global leader in cloud-based SaaS software for professional services firms, with a particular focus on Legal Practice Management.

Our platform powers the operations of 30,000+ professionals worldwide, helping law firms run more efficient, profitable, and modern businesses.

We’re experiencing exceptional global growth, expanding rapidly across North America, the UK, Australia, Canada, and New Zealand.

Our team of 240+ talented professionals is united by a mission to build technology that transforms how professional firms operate.

As we continue scaling internationally, building a world-class finance function is critical to supporting the next phase of our growth.

The Finance Team Our Finance team sits at the center of the business — providing the financial insight, discipline, and strategic support that allows the company to grow confidently.

We deliver accurate, timely financial data that empowers leadership to make smart decisions while ensuring strong governance, compliance, and risk management across multiple jurisdictions.

This is a high-impact, collaborative team where finance professionals have the opportunity to influence how a modern SaaS finance function operates at global scale.

The Opportunity As Senior Financial Accountant, you'll play a critical role in maintaining the financial integrity of a rapidly expanding multi-entity organization.

Reporting to senior finance leadership, you'll take ownership of key accounting processes, support the month-end close, ensure balance sheet accuracy, and help strengthen financial reporting and controls.

You’ll collaborate with teams across the business and contribute to building scalable processes that support our continued global expansion.

This role is ideal for a hands-on accountant who enjoys ownership, thrives in dynamic environments, and wants to grow alongside a high-performing SaaS company.
Remote working/work at home options are available for this role.